Discrete-Time Event-Triggered Control of Nonlinear Wireless Networked Control Systems
This paper investigates the problem of stabilization of nonlinear discrete-time networked control systems (NCSs) with event-triggering communication scheme in the presence of signal transmission delay. A Takagi-Sugeno (T-S) fuzzy model and parallel-distributed compensation (PDC) scheme are first emp...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2014-01-01
|
Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2014/860438 |
id |
doaj-72ddc10ece1443be9c36482166659eb1 |
---|---|
record_format |
Article |
spelling |
doaj-72ddc10ece1443be9c36482166659eb12020-11-24T22:34:27ZengHindawi LimitedAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/860438860438Discrete-Time Event-Triggered Control of Nonlinear Wireless Networked Control SystemsSonglin Hu0Dong Yue1Min Shi2Xiangpeng Xie3College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, ChinaInstitute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, ChinaInstitute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, ChinaInstitute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, ChinaThis paper investigates the problem of stabilization of nonlinear discrete-time networked control systems (NCSs) with event-triggering communication scheme in the presence of signal transmission delay. A Takagi-Sugeno (T-S) fuzzy model and parallel-distributed compensation (PDC) scheme are first employed to design a nonlinear fuzzy event-triggered controller for the stabilization of nonlinear discrete-time NCSs. The idea of the event-triggering communication scheme (i.e., a soft computation algorithm) under consideration is that the current sensor data is transmitted only when the current sensor data and the previously transmitted one satisfy a certain state-dependent trigger condition. By taking the signal transmission delay into consideration and using delay system approach, a T-S fuzzy delay system model is established to describe the nonlinear discrete-time NCSs with event-triggering communication scheme. Attention is focused on the design of fuzzy event-triggered controller which ensures asymptotic stability of the closed-loop fuzzy systems. Linear matrix inequality- (LMI-) based conditions are formulated for the existence of admissible fuzzy event-triggered controller. If these conditions are feasible, a desired fuzzy event-triggered controller can be readily constructed. A nonlinear mass-spring-damper mechanical system is presented to demonstrate the effectiveness of the proposed method.http://dx.doi.org/10.1155/2014/860438 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Songlin Hu Dong Yue Min Shi Xiangpeng Xie |
spellingShingle |
Songlin Hu Dong Yue Min Shi Xiangpeng Xie Discrete-Time Event-Triggered Control of Nonlinear Wireless Networked Control Systems Abstract and Applied Analysis |
author_facet |
Songlin Hu Dong Yue Min Shi Xiangpeng Xie |
author_sort |
Songlin Hu |
title |
Discrete-Time Event-Triggered Control of Nonlinear Wireless Networked Control Systems |
title_short |
Discrete-Time Event-Triggered Control of Nonlinear Wireless Networked Control Systems |
title_full |
Discrete-Time Event-Triggered Control of Nonlinear Wireless Networked Control Systems |
title_fullStr |
Discrete-Time Event-Triggered Control of Nonlinear Wireless Networked Control Systems |
title_full_unstemmed |
Discrete-Time Event-Triggered Control of Nonlinear Wireless Networked Control Systems |
title_sort |
discrete-time event-triggered control of nonlinear wireless networked control systems |
publisher |
Hindawi Limited |
series |
Abstract and Applied Analysis |
issn |
1085-3375 1687-0409 |
publishDate |
2014-01-01 |
description |
This paper investigates the problem of stabilization of nonlinear discrete-time networked control systems (NCSs)
with event-triggering communication scheme in the presence of signal transmission delay. A Takagi-Sugeno (T-S)
fuzzy model and parallel-distributed compensation (PDC) scheme are first employed to design a nonlinear fuzzy
event-triggered controller for the stabilization of nonlinear discrete-time NCSs. The idea of the event-triggering
communication scheme (i.e., a soft computation algorithm) under consideration is that the current sensor data is transmitted
only when the current sensor data and the previously transmitted one satisfy a certain state-dependent trigger
condition. By taking the signal transmission delay into consideration and using delay system approach, a T-S fuzzy
delay system model is established to describe the nonlinear discrete-time NCSs with event-triggering communication
scheme. Attention is focused on the design of fuzzy event-triggered controller which ensures asymptotic stability
of the closed-loop fuzzy systems. Linear matrix inequality- (LMI-) based conditions are formulated for the existence
of admissible fuzzy event-triggered controller. If these conditions are feasible, a desired fuzzy event-triggered controller
can be readily constructed. A nonlinear mass-spring-damper mechanical system is presented to demonstrate
the effectiveness of the proposed method. |
url |
http://dx.doi.org/10.1155/2014/860438 |
work_keys_str_mv |
AT songlinhu discretetimeeventtriggeredcontrolofnonlinearwirelessnetworkedcontrolsystems AT dongyue discretetimeeventtriggeredcontrolofnonlinearwirelessnetworkedcontrolsystems AT minshi discretetimeeventtriggeredcontrolofnonlinearwirelessnetworkedcontrolsystems AT xiangpengxie discretetimeeventtriggeredcontrolofnonlinearwirelessnetworkedcontrolsystems |
_version_ |
1725727345650696192 |